Chunyan Yang

2.1k total citations
66 papers, 1.3k citations indexed

About

Chunyan Yang is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Chunyan Yang has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Plant Science, 16 papers in Genetics and 15 papers in Molecular Biology. Recurrent topics in Chunyan Yang's work include Soybean genetics and cultivation (36 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Legume Nitrogen Fixing Symbiosis (15 papers). Chunyan Yang is often cited by papers focused on Soybean genetics and cultivation (36 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Legume Nitrogen Fixing Symbiosis (15 papers). Chunyan Yang collaborates with scholars based in China, United States and Vietnam. Chunyan Yang's co-authors include Ling Jiang, Jianmin Wan, Mengchen Zhang, Xi Liu, Bingyue Lu, Zhiming Feng, Jun Qin, Kun Xie, Long Yan and Qingsong Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and PLoS ONE.

In The Last Decade

Chunyan Yang

63 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chunyan Yang China 20 1.1k 397 287 72 57 66 1.3k
Linglong Liu China 21 1.1k 1.0× 538 1.4× 462 1.6× 89 1.2× 161 2.8× 50 1.4k
Jianhua Gao China 18 551 0.5× 478 1.2× 232 0.8× 68 0.9× 48 0.8× 49 939
Xue Zhao China 20 996 0.9× 309 0.8× 176 0.6× 20 0.3× 23 0.4× 79 1.3k
P. B. Kavi Kishor India 13 888 0.8× 394 1.0× 110 0.4× 16 0.2× 55 1.0× 28 1.0k
Tao Guo China 18 1.2k 1.1× 675 1.7× 544 1.9× 15 0.2× 52 0.9× 37 1.7k
Jason D. Gillman United States 21 1.1k 1.0× 359 0.9× 214 0.7× 17 0.2× 34 0.6× 46 1.3k
Zhonghua Sheng China 14 468 0.4× 366 0.9× 150 0.5× 33 0.5× 85 1.5× 40 860
Wànkuí Gǒng China 22 1.1k 1.0× 418 1.1× 158 0.6× 45 0.6× 25 0.4× 65 1.4k
Lin Tao China 12 532 0.5× 413 1.0× 299 1.0× 16 0.2× 40 0.7× 25 966
Yongzhu Liu China 17 708 0.7× 273 0.7× 290 1.0× 16 0.2× 21 0.4× 43 857

Countries citing papers authored by Chunyan Yang

Since Specialization
Citations

This map shows the geographic impact of Chunyan Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chunyan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunyan Yang more than expected).

Fields of papers citing papers by Chunyan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chunyan Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chunyan Yang. The network helps show where Chunyan Yang may publish in the future.

Co-authorship network of co-authors of Chunyan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyan Yang. A scholar is included among the top collaborators of Chunyan Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chunyan Yang. Chunyan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Lingfeng, et al.. (2025). Predicting malignant cerebral edema after acute ischemic stroke: a machine-learning model with multi-region radiomics. Quantitative Imaging in Medicine and Surgery. 15(6). 5188–5203.
2.
Zhao, Tiantian, Jin Qi, Qiang Chen, et al.. (2025). Genome-wide association analysis study and genomic prediction for resistance to soybean mosaic virus in soybean population. BMC Plant Biology. 25(1). 837–837. 1 indexed citations
3.
Zhong, Xiangbin, Jie Wang, Xiaolei Shi, et al.. (2024). Genetically optimizing soybean nodulation improves yield and protein content. Nature Plants. 10(5). 736–742. 34 indexed citations
4.
Zhang, Hao, Yu Tian, Chunyan Yang, et al.. (2024). A natural allelic variant of GmSW17.1 confers high 100-seed weight in soybean. The Crop Journal. 12(6). 1709–1717.
5.
Chen, Qiang, et al.. (2024). A multi-trait GWAS-based genetic association network controlling soybean architecture and seed traits. Frontiers in Plant Science. 14. 1302359–1302359. 6 indexed citations
6.
Yang, Qing, Jianan Zhang, Xiaolei Shi, et al.. (2023). Development of SNP marker panels for genotyping by target sequencing (GBTS) and its application in soybean. Molecular Breeding. 43(4). 26–26. 10 indexed citations
7.
Chen, Jianqi, Chunyan Yang, Weixin Zheng, et al.. (2023). Global, Regional, and National Epidemiology of Visual Impairment in Working-Age Individuals, 1990-2019. JAMA Ophthalmology. 142(1). 25–25. 14 indexed citations
8.
Yang, Yue, Luping Liu, Bingqiang Liu, et al.. (2023). Identification of candidate genes for soybean seed coat-related traits using QTL mapping and GWAS. Frontiers in Plant Science. 14. 1190503–1190503. 13 indexed citations
9.
Sun, Bo, Rui Guo, Zhi Liu, et al.. (2022). Genetic variation and marker−trait association affect the genomic selection prediction accuracy of soybean protein and oil content. Frontiers in Plant Science. 13. 1064623–1064623. 3 indexed citations
10.
Ren, Na, Yang Qiu, Qing Lu, et al.. (2021). Development of a Csy4-processed guide RNA delivery system with soybean-infecting virus ALSV for genome editing. BMC Plant Biology. 21(1). 419–419. 22 indexed citations
11.
Wang, Qian, Qibing Lin, Tao Wu, et al.. (2020). OsDOG1L-3 regulates seed dormancy through the abscisic acid pathway in rice. Plant Science. 298. 110570–110570. 39 indexed citations
12.
Mou, Changling, Fulin Zhang, Yunshuai Huang, et al.. (2020). WSL9 Encodes an HNH Endonuclease Domain-Containing Protein that Is Essential for Early Chloroplast Development in Rice. Rice. 13(1). 45–45. 8 indexed citations
13.
Qin, Jun, Ainong Shi, Qijian Song, et al.. (2019). Genome Wide Association Study and Genomic Selection of Amino Acid Concentrations in Soybean Seeds. Frontiers in Plant Science. 10. 1445–1445. 38 indexed citations
14.
Wang, Jie, Pengfei Zhou, Xiaolei Shi, et al.. (2019). Primary metabolite contents are correlated with seed protein and oil traits in near-isogenic lines of soybean. The Crop Journal. 7(5). 651–659. 28 indexed citations
15.
Yang, Chunyan, Xi Liu, Zhiming Feng, et al.. (2019). OsLUGL is involved in the regulating auxin level and OsARFs expression in rice (Oryza sativa L.). Plant Science. 288. 110239–110239. 5 indexed citations
16.
Shi, Xiaolei, Long Yan, Chunyan Yang, et al.. (2018). Identification of a major quantitative trait locus underlying salt tolerance in ‘Jidou 12’ soybean cultivar. BMC Research Notes. 11(1). 95–95. 19 indexed citations
17.
Yang, Chunyan. (2010). Senescence of Root and Leaf Phsiological Traits during Seed-filling of Summer Growing Soybean. Dadou kexue. 1 indexed citations
18.
Yang, Chunyan. (2010). Root Traits Spatial Distribution of Different Yield Level Summer Soybean in the South of Hebei Province. Dadou kexue. 1 indexed citations
19.
Liu, Zhangxiong, Chunyan Yang, Ran Xu, et al.. (2010). Analysis of Adaptability of Soybean Mini Core Collections in Huang-Huai Region. ACTA AGRONOMICA SINICA. 37(3). 443–451. 3 indexed citations
20.
Zhang, Mengchen, et al.. (2005). Studies on quality improvement effect and separate character of soybean male sterile (MS1) recurrent selection population.. Xi'nan nongye xuebao. 18(5). 547–551. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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